224 lines
11 KiB
JSON
224 lines
11 KiB
JSON
{
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"schema_version": "v1",
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"generated_at": "2026-03-26T02:17:31.459980Z",
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"run_id": "openclaw-delivery-20260326-021731",
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"date": "2026-03-25",
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"candidates": [
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{
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"candidate_id": "cand:sha256:0d315d9489010cfd470a8d479e4e4443722fffdc34ecc1245c1b92458ace5093",
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"title": "科技爱好者周刊（第 388 期）：测试是新的护城河",
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"url": "http://www.ruanyifeng.com/blog/2026/03/weekly-issue-388.html",
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"canonical_url": "http://www.ruanyifeng.com/blog/2026/03/weekly-issue-388.html",
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"published_at": "2026-03-12T23:59:16Z",
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"author": "阮一峰",
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"source_name": "阮一峰的网络日志",
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"language": null,
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"summary": "本期讨论了AI快速复刻大型软件的现象，以Cloudflare工程师一周内用AI重写Next.js为例。文章指出，完备的测试用例成为软件公司防止AI复刻的新护城河，并探讨了AI复刻带来的版权问题。",
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"highlights": [
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"Cloudflare工程师仅用一周和1100美元Token费用，通过AI复刻了Next.js，性能优于原版。",
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"软件护城河从代码转向测试用例，例如SQLite的闭源测试套件TH3是其难以复刻的核心。",
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"AI复刻软件引发版权争议，如chardet项目因许可证更改产生纠纷，且AI生成物可能无版权。",
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"文章列举了多个科技动态，包括AI改写脏话、激光飞机上网、数字分身争议等。",
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"周刊还包含工具推荐、资源分享及读者评论，探讨了AI对程序员行业的影响。"
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],
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"keywords": [
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"Next.js",
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"AI复刻",
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"测试用例",
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"SQLite",
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"MIT许可证",
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"Cloudflare",
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"vinext",
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"护城河"
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],
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"topics": [
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"人工智能",
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"软件开发",
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"开源技术",
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"科技趋势",
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"版权法律"
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],
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"category": "观点评论",
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"worth_keeping": true,
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"worth_reason": "文章深入分析了AI对软件行业的冲击，提出了测试作为新护城河的见解，具有前瞻性和讨论价值。",
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"selection_decision": "review",
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"selection_reason": "Article may be behind a paywall.",
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"digest_section_hint": null,
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"digest_rank": 95
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},
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{
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"candidate_id": "cand:sha256:4139f277b8cb621b02b3398f8a7bd78e3f9eef7bcd320b70b8590e802540c6ca",
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"title": "套壳中国大模型撑起500亿美元估值？扒一扒 Cursor 的\"套壳\"疑云",
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"url": "http://www.ruanyifeng.com/blog/2026/03/kimi-cursor.html",
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"canonical_url": "http://www.ruanyifeng.com/blog/2026/03/kimi-cursor.html",
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"published_at": "2026-03-21T10:19:11Z",
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"author": "阮一峰",
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"source_name": "阮一峰的网络日志",
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"language": null,
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"summary": "AI编程工具Cursor推出的Composer 2模型被揭露实为套壳中国模型Kimi K2.5。尽管Cursor通过合作伙伴获得授权未侵权，但其隐瞒行为被认为是为支撑高估值而包装成自研模型公司。事件引发对国产大模型技术输出和信心的讨论。",
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"highlights": [
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"Cursor的Composer 2模型被技术手段揭露实际请求的模型ID为Kimi K2.5。",
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"Cursor通过Fireworks AI获得Kimi授权，未违反许可条款，但刻意隐瞒使用事实。",
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"Cursor估值在短期内从数千万美元飙升至数百亿美元，有动机包装自研能力以支撑估值。",
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"事件显示中国大模型技术已能对外输出，国产模型与国外旗舰差距正在缩小。",
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"Kimi在此事件中获得大量曝光，其下一代K3模型被期待有显著性能提升。"
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],
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"keywords": [
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"Cursor",
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"Composer 2",
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"Kimi K2.5",
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"Fireworks AI",
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"模型套壳",
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"MIT许可证",
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"估值泡沫",
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"AI编程工具"
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],
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"topics": [
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"人工智能",
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"大模型",
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"商业伦理",
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"技术授权",
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"创业融资"
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],
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"category": "观点评论",
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"worth_keeping": true,
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"worth_reason": "文章深入剖析了AI行业热点事件，涉及技术真相、商业动机和产业趋势，具有较高的讨论和参考价值。",
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"selection_decision": "review",
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"selection_reason": "Worth-keeping signal is positive but no stronger keep rule matched.",
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"digest_section_hint": null,
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"digest_rank": 60
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},
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{
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"candidate_id": "cand:sha256:a16942c9699333155498d2bc59c530358bd6d81d9afe01e2b96e0e862edfc6a6",
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"title": "科技爱好者周刊（第 389 期）：未来如何招聘程序员",
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"url": "http://www.ruanyifeng.com/blog/2026/03/weekly-issue-389.html",
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"canonical_url": "http://www.ruanyifeng.com/blog/2026/03/weekly-issue-389.html",
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"published_at": "2026-03-19T23:59:16Z",
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"author": "阮一峰",
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"source_name": "阮一峰的网络日志",
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"language": null,
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"summary": "本文探讨了在AI编程普及的未来，如何有效招聘程序员。作者认为传统的代码能力考察将不再重要，面试重点应转向考察应聘者使用AI工具、分解项目需求以及系统架构的能力。文章也指出，目前尚难确定一套能可靠筛选合格AI编程人才的面试问题。",
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"highlights": [
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"未来程序员招聘的核心考察点将从手写代码能力转向熟练运用AI工具的能力。",
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"面试问题可能包括如何将复杂需求转化为清晰的提示词，以及设计多Agent协同工作机制。",
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"传统的编程语法细节考察意义下降，系统架构知识和项目经验可能仍是重要参考。",
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"AI的快速发展使得软件开发流程和人才评估标准面临颠覆性变化。",
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"文章还包含科技动态、工具推荐、资源分享等周刊常规栏目内容。"
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],
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"keywords": [
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"AI编程",
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"程序员招聘",
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"面试问题",
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"提示词工程",
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"多Agent协同",
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"系统架构",
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"科技动态",
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"工具推荐"
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],
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"topics": [
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"人工智能",
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"软件开发",
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"职业发展",
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"科技资讯",
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"效率工具"
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],
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"category": "观点评论",
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"worth_keeping": true,
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"worth_reason": "文章深入探讨了AI时代对程序员职业及招聘流程的潜在影响，具有前瞻性和讨论价值，且内容结构完整、信息量丰富。",
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"selection_decision": "review",
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"selection_reason": "Worth-keeping signal is positive but no stronger keep rule matched.",
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"digest_section_hint": null,
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"digest_rank": 60
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},
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{
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"candidate_id": "cand:sha256:419828361de854cd29dbcd3e8205d3da50ff955ac9c85861d2e195bc888b2103",
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"title": "FreshRSS 1.28.1",
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"url": "https://github.com/FreshRSS/FreshRSS/releases/tag/1.28.1",
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"canonical_url": "https://github.com/FreshRSS/FreshRSS/releases/tag/1.28.1",
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"published_at": "2026-01-25T18:20:16Z",
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"author": "Alkarex",
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"source_name": "FreshRSS releases",
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"language": null,
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"summary": "FreshRSS 1.28.1 是一个专注于修复错误的版本，主要解决了 1.28.0 版本引入的回归问题。该版本包含少量新功能，如可自定义的注册关闭消息，并进行了性能优化。",
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"highlights": [
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"此版本主要修复了 1.28.0 版本引入的多个回归错误。",
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"新增了可自定义的注册关闭消息和 Apache 访问日志中的用户名记录功能。",
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"通过禁用 Ajax 请求中用户标签的文章计数来提升性能。",
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"修复了涉及过滤器、标签搜索、RSS/OPML 访问和数据库等多个具体问题。",
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"该版本由多位贡献者共同完成，包括新加入的开发者。"
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],
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"keywords": [
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"FreshRSS",
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"bug 修复",
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"回归问题",
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"GReader API",
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"HTTP Basic Auth",
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"Ajax 请求",
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"MySQL",
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"MariaDB"
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],
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"topics": [
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"开源软件",
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"版本更新",
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"RSS 阅读器",
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"软件开发",
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"性能优化"
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],
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"category": "资讯",
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"worth_keeping": true,
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"worth_reason": "该文章清晰记录了 FreshRSS 一个具体版本的更新内容，对用户和开发者具有明确的参考价值。",
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"selection_decision": "review",
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"selection_reason": "Worth-keeping signal is positive but no stronger keep rule matched.",
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"digest_section_hint": null,
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"digest_rank": 60
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},
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{
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"candidate_id": "cand:sha256:6b36071bbd22c58692c039e172669ae28ac1ec8a6a6bce150c22d80af29761fc",
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"title": "FreshRSS 1.28.0",
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"url": "https://github.com/FreshRSS/FreshRSS/releases/tag/1.28.0",
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"canonical_url": "https://github.com/FreshRSS/FreshRSS/releases/tag/1.28.0",
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"published_at": "2025-12-24T19:27:23Z",
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"author": "Alkarex",
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"source_name": "FreshRSS releases",
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"language": null,
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"summary": "FreshRSS 1.28.0 是一个主要版本更新，引入了多项新功能、性能改进和错误修复。更新包括新的排序过滤选项、高级搜索表单、API 功能增强以及 Docker 镜像更新。此版本还包含安全增强、UI 优化和针对大型实例的性能扩展。",
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"highlights": [
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"新增按用户修改日期排序和过滤功能，支持如 userdate:PT1H 的搜索操作符。",
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"改进了对拥有 1000 以上用户的大型实例的统计信息扩展和 SQL 查询速度。",
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"Docker 默认镜像已更新至 Debian 13 Trixie 和 PHP 8.4.11。",
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"修复了 OpenID Connect 在 Debian 13 上的问题以及 MySQL/MariaDB 的错误排序。",
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"将不安全的自动登录功能移至扩展，并对部分扩展存在潜在的破坏性变更。"
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],
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"keywords": [
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"FreshRSS",
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"用户修改日期排序",
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"高级搜索表单",
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"Capy Reader",
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"Docker",
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"Debian 13 Trixie",
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"PHP 8.4.11",
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"OpenID Connect"
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],
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"topics": [
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"开源软件",
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"RSS 阅读器",
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"版本发布",
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"软件开发",
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"系统维护"
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],
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"category": "资讯",
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"worth_keeping": true,
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"worth_reason": "该文章详细记录了 FreshRSS 一个重要版本的功能更新、性能优化和修复内容，对用户和开发者具有明确的参考价值。",
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"selection_decision": "review",
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"selection_reason": "Worth-keeping signal is positive but no stronger keep rule matched.",
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"digest_section_hint": null,
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"digest_rank": 60
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}
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],
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} |